An intelligent agent for ubiquitous computing environments: smart home UT-AGENT

  • Kushwaha N
  • Kim M
  • Kim D
 et al. 
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Abstract

We propose an intelligent agent model for smart home environments.
In ubiquitous computing environments like smart home, agents have
to learn user's preferences in order to assist them. These preferences
are represented by user profiles. Our proposed UT-AGENT uses case-based
reasoning (CBR) to acquire knowledge about user actions that are
worth recording to determine their preferences and Bayesian network
(BN) as an inference tool to model relationships between them. UT-AGENT
maintains the status of every device present in the home and activates
them as per user preference. It generates a sequence of expected
user's query and simultaneously activates the devices with preset
preference settings.

Author-supplied keywords

  • Bayesian network; case-based reasoning; inference

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Authors

  • N Kushwaha

  • Minkoo Kim

  • Dong Yoon Kim

  • We-Duke Cho

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